Jin-Ge Yao

997 citations
24 papers · 567 · h-index 13

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Advanced Text Analysis Techniques
    • Video Surveillance and Tracking Methods
    • Human Pose and Action Recognition
    • Multimodal Machine Learning Applications
    • Advanced Neural Network Applications

Papers in

Journals
Knowledge and Information Systems (2 papers)Journal of Web Semantics (1 paper)International Joint Conference on Natural Language Processing (1 paper)Proceedings of the AAAI Conference on Artificial Intelligence (3 papers)International Conference on Artificial Intelligence (1 paper)

In The Last Decade

Jin-Ge Yao

22 papers receiving 531 citations

Peers

Jin-Ge Yao
Comparison fields: 5 of 53
  • Artificial Intelligence 398
  • Computer Vision and Pattern Recognition 214
  • General Social Sciences 14
  • Management Science and Operations Research 27
  • Information Systems 42
Replace Minwei Feng with:
Minwei Feng Germany
Wangchunshu Zhou China
Ziyue Qiao China
Yue Dong Canada
Xinchi Chen China
Zhongqian Sun China
Haoran Li China
Feifei Kou China
Sami Abu-El-Haija United States
Jin-Ge Yao relative to Minwei Feng Germany Minwei Feng's profile →
Citations per field
00.5×4.9×
Minwei Feng · 1×
Citations per year

Countries citing papers authored by Jin-Ge Yao

Since Specialization
Citations

This map shows the geographic impact of Jin-Ge Yao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jin-Ge Yao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin-Ge Yao more than expected).

Fields of papers citing papers by Jin-Ge Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin-Ge Yao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jin-Ge Yao. The network helps show where Jin-Ge Yao may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin-Ge Yao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin-Ge Yao Line = papers co-authored together Jin-Ge Yao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019146
2 201786
3 201954
4 201541
5 201940
6 201829
7
Compressive document summarization via sparse optimization
201523
8 202121
9 201619
10 201819
11 201818
12 202013
13 201812
14 201611
15 201810
16 20226
17
LinkingPark: An Integrated Approach for Semantic Table Interpretation.
20205
18 20185
19 20173
20
Leveraging Diverse Lexical Chains to Construct Essays for Chinese College Entrance Examination
20172

About Jin-Ge Yao

Jin-Ge Yao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Signal Processing, Management Science and Operations Research and Information Systems, having authored 24 papers that have together received 567 indexed citations. Recurring topics across this work include Topic Modeling (18 papers), Natural Language Processing Techniques (18 papers), Advanced Text Analysis Techniques (7 papers), Semantic Web and Ontologies (3 papers), Multimodal Machine Learning Applications (3 papers), Algorithms and Data Compression (2 papers), Speech Recognition and Synthesis (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Artificial Intelligence (398 citations), Computer Vision and Pattern Recognition (214 citations), General Social Sciences (14 citations), Management Science and Operations Research (27 citations) and Information Systems (42 citations). Jin-Ge Yao has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Xiaojun Wan, Jianguo Xiao, Chin-Yew Lin, Yuhui Yuan, Kai Han, Chao Zhang, Jianyuan Guo, Lang Huang, Jinpeng Wang and Rong Pan. Their work appears in journals such as Knowledge and Information Systems, Journal of Web Semantics, International Joint Conference on Natural Language Processing, Proceedings of the AAAI Conference on Artificial Intelligence and International Conference on Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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